# How Slack Manages Context in Long-running Multi-agent Systems Canonical URL: https://www.traeai.com/articles/e5429d7b-1050-48b5-91fb-ade73d4c0e52 Original source: https://www.infoq.com/news/2026/04/slack-agent-context-management/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global Source name: InfoQ Content type: article Language: 英文 Score: 7.5 Reading time: 11 分钟 Published: 2026-04-28T21:00:00+00:00 Tags: Slack, 多智能体系统, 架构, 事件溯源 ## Summary Slack分享了其在长时间运行的多智能体系统中管理上下文的设计与实践经验,重点探讨了架构挑战和解决方案。 ## Key Takeaways - Slack采用分层上下文管理策略以支持复杂多智能体交互。 - 通过事件溯源和状态快照提升系统的可扩展性和恢复能力。 - 设计强调模块化和隔离性,确保长期运行中的稳定性。 ## Citation Guidance When citing this item, prefer the canonical traeai article URL for the AI-readable summary and include the original source URL when discussing the underlying source material.